HugsVision VS Human-Segmentation-PyTorch

Compare HugsVision vs Human-Segmentation-PyTorch and see what are their differences.

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HugsVision Human-Segmentation-PyTorch
1 1
188 533
- -
0.0 0.0
9 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

HugsVision

Posts with mentions or reviews of HugsVision. We have used some of these posts to build our list of alternatives and similar projects.

Human-Segmentation-PyTorch

Posts with mentions or reviews of Human-Segmentation-PyTorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-30.

What are some alternatives?

When comparing HugsVision and Human-Segmentation-PyTorch you can also consider the following projects:

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

unet - unet for image segmentation

fashionpedia-api - Python API for Fashionpedia Dataset

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

Vision-Project-Image-Segmentation

CoordConv

JejuNet - Real-Time Video Segmentation on Mobile Devices with DeepLab V3+, MobileNet V2. Worked on the project in 🏝 Jeju island

Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation